Senior Geospatial Data Scientist (Address and Geocoding)

• Job Responsibilities
• Complex

Parsing: Build robust systems to handle the nuances of US addressing, including rural routes, high-rise secondary units, fractional addresses, non-postal locations, multiple valid address representations, and vanity address components.

• Precision

Engineering: Innovate new mechanisms to transition geolocation precision from areal (e. g., Postal, Census centroids) to specific (e. g., Parcel, Rooftop centroids) to differentiated (e. g., Front Door, Loading Dock, Drop-Off Points, etc.).

• Spatial

Verification: Develop validation loops using multiple contributor data sources to verify that geocoded points link to other terrestrial datasets which link back to the original geocoded points.

• Spot

Verification: Evaluate and benchmark third-party geocoding services (e. g., Google, Mapbox, Overture Maps, etc.) vs. in-house builds to validate consistency and/or differentiation.

• Quality Frameworks: Evolve automated “confidence” scoring systems to measure and report on the “health” of our addressing and geocoding data over time.
• Ideate, iterate and implement enhancements to the geocoding stack to unlock higher accuracy, explainability and currency.
• Perform hands-on experimentations using modern open-source, cloud native geospatial tools, and collaborate with engineering team to take features from idea to production.
• Data Licensing Evaluations: Work with in-house data acquisition team to evaluate data vendors to ensure we are using best in class data while remaining competitive.
• Evangelism: Drive awareness and education of address hygiene internally within the company as well as to external customers.
• Job Qualifications
• Domain Skills
• Mastery of USPS CASS/NCOA processes, TIGER data, and the nuances of the US postal system.
• Experience of working with commercial as well as publicly available road networks datasets.
• US land parcel data and relationship to addresses.
• Census data.
• 5+ years of relevant experience.
• Technical Skills – Must Have
• Be able to prototype and demonstrate ideas through hands‑on coding in a Jupyter notebook oriented environment.
• Python and SQL coding skills are a must.
• Emphasis on geospatial and address and routing focused on Python libraries.
• Spatial data formats.
• Post GIS spatial SQL.
• GDAL command‑line tools.
• QGIS.
• Working knowledge of REST APIs, JSON structures, Post Man.
• Statistics fundamentals.
• Nice To Have
• Bachelor’s Degree or Equivalent Work History.
• Some experience with a Big Data stack such as Apache Spark.
• Cloud based spatial analytics platforms such as Carto.
• Geospatial pattern matching/recognition algorithms.
• Annual Pay Range
• Application Window
• 2026-04-27

Benefits

• Time off: Generous PTO and 11 paid holidays, plus well‑being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well‑being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more.

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law.

Cotality maintains a Drug‑Free Workplace.

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